How can I troubleshoot issues with word embeddings?

I'm having trouble with my word embeddings not capturing the right relationships. What should I check?

First, ensure that your training data is diverse and representative of the relationships you want to capture. Have you checked the quality of your data?

Yes, the data seems fine. But the embeddings still don't reflect the semantic similarities I expect.

In that case, consider adjusting your model parameters, like the learning rate or the number of epochs. Have you tried experimenting with those?

I haven't changed those yet. What else could be affecting the embeddings?

Other factors could include the choice of embedding algorithm or the dimensionality of the embeddings. Are you using Word2Vec, GloVe, or something else?